Shahram Sheikhi

Papers

Total Citations

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About

Shahram Sheikhi is a robotics researcher focused on advancing human-robot collaboration in industrial manufacturing, particularly in welding and surface reconditioning. His key research areas include remote welding systems, motion signal processing, and automated laser-based coating for thin-wall structures. Sheikhi’s major contributions center on overcoming the physical limitations and hazards faced by skilled welders. In his most-cited work, "Trajectory Extrapolation for Manual Robot Remote Welding" (2021, 9 citations), he developed an algorithm that extrapolates hand motion in real time, enabling welders to produce continuous seams across a larger workspace while reducing strain and fatigue. His 2020 paper on "Motion Signal Processing for a Remote Gas Metal Arc Welding Application" (3 citations) further refined the human-robot interface, allowing welders to operate remotely without exposure to physical stress or danger. Additionally, his work on "Automated Reconditioning of Thin Wall Structures Using Robot-Based Laser Powder Coating" (2020, 6 citations) addresses a critical challenge for small- and medium-sized enterprises by offering a digitalized, cost-effective solution for part repair. Through these contributions, Sheikhi is helping to make industrial automation more accessible and safer, bridging the gap between skilled human craftsmanship and robotic precision.